Planning with Files
OthmanAdi/planning-with-files
Keeps a task plan, findings and progress log in markdown files on disk so long agent tasks survive context resets, with Gemini hooks and helper scripts.
Interactive chat workflows with Gemini CLI including context management, multimodal conversations, and session persistence.
$ npx skills add majiayu000/claude-skill-registry --skill gemini-chat -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install majiayu000/claude-skill-registry gemini-chat --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-llm/gemini-chat .claude/skills/gemini-chat && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "gemini-chat" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/gemini-chat into .claude/skills/gemini-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gemini-chat", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/gemini-chatType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add majiayu000/claude-skill-registry --skill gemini-chat -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install majiayu000/claude-skill-registry gemini-chat --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-llm/gemini-chat .agents/skills/gemini-chat && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "gemini-chat" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/gemini-chat into .agents/skills/gemini-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gemini-chat", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add majiayu000/claude-skill-registry --skill gemini-chat -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install majiayu000/claude-skill-registry gemini-chat --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-llm/gemini-chat .cursor/skills/gemini-chat && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "gemini-chat" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/gemini-chat into .cursor/skills/gemini-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gemini-chat", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/majiayu000/claude-skill-registry.git --path skills/ai-llm/gemini-chat--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add majiayu000/claude-skill-registry --skill gemini-chat -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install majiayu000/claude-skill-registry gemini-chat --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-llm/gemini-chat .gemini/skills/gemini-chat && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "gemini-chat" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/gemini-chat into .gemini/skills/gemini-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gemini-chat", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install majiayu000/claude-skill-registry gemini-chatInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add majiayu000/claude-skill-registry --skill gemini-chat -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-llm/gemini-chat .github/skills/gemini-chat && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "gemini-chat" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/gemini-chat into .github/skills/gemini-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gemini-chat", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add majiayu000/claude-skill-registry --skill gemini-chat -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install majiayu000/claude-skill-registry gemini-chat --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-llm/gemini-chat .opencode/skills/gemini-chat && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "gemini-chat" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/gemini-chat into .opencode/skills/gemini-chat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gemini-chat", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
gemini-chatInteractive chat workflows with Gemini CLI including context management, multimodal conversations, and session persistence.
Gemini Chat is an agent skill from majiayu000/claude-skill-registry. Interactive chat workflows with Gemini CLI including context management, multimodal conversations, and session persistence. Use for extended AI conversations, brainstorming, or collaborative problem-solving.
Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).
It sits in Agent Workflows, covering Context engineering and Brainstorming. It works with Google Gemini. The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 2d14a69. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
geminigitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Gemini Chat loads about 2.8k tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 189 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from majiayu000/claude-skill-registry at commit 2d14a69, republished under its MIT licence (© majiayu000). 189 words, ~2,848 tokens.
.claude/skills/gemini-chat/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Advanced interactive chat workflows with Gemini CLI, featuring context management, multimodal support, and session persistence.
# Start interactive chat
gemini -i "Let's work on my project"
# Start with specific context
gemini --include-directories ./src -i "Help me refactor this code"
# Start with checkpointing and YOLO mode (toggle in session)
gemini --checkpointing -i "Complex multi-step task"YOLO mode can be toggled during interactive sessions for automated execution:
# In interactive mode:
# Ctrl+Y # Toggle YOLO mode on/off
# /yolo on # Enable auto-approval
# /yolo off # Disable auto-approval
# Start with YOLO already enabled (for automation)
gemini --yolo -i "Set up complete development environment automatically"
# Mixed mode workflow
gemini -i "Let's plan first, then execute with YOLO"
# Plan manually, then: Ctrl+Y to enable YOLO for executionWhen to use YOLO in chat:
/help # Show all available commands
/tools # List available tools
/mcp # Show MCP server status
/compress # Compress conversation context
/copy # Copy last response
/clear # Clear screen and context
/checkpoint # Save current state
/restore # Restore previous state
/exit # End session# In chat, reference files
@./src/main.js # Include file in context
@./docs/ # Include entire directory
@https://example.com # Include web page
# Include images
@./diagram.png # Add image to conversation
Ctrl+V # Paste image from clipboard
# Context commands
/compress # Summarize long conversation
/clear context # Clear context, keep chat
/show context # Display current context#!/bin/bash
# Interactive code review
start_code_review() {
local project_dir="${1:-.}"
gemini \
--include-directories "$project_dir/src" \
--exclude-directories node_modules,.git \
--checkpointing \
-i "Let's do a code review. Start by giving me an overview of the codebase structure."
}
# Usage
start_code_review ./my-project#!/bin/bash
# Creative brainstorming with saves
brainstorm_session() {
local topic="$1"
local session_name="brainstorm-$(date +%Y%m%d-%H%M%S)"
# Create session directory
mkdir -p ~/.gemini/sessions/$session_name
# Start session with logging
gemini \
--checkpointing \
--log ~/.gemini/sessions/$session_name/chat.log \
-i "Let's brainstorm about: $topic
Please help me:
1. Generate creative ideas
2. Evaluate feasibility
3. Identify challenges
4. Suggest next steps"
# Save final summary with YOLO
gemini --yolo -p "Summarize our brainstorming session and create actionable next steps" \
> ~/.gemini/sessions/$session_name/summary.md
echo "Session saved to ~/.gemini/sessions/$session_name/"
}
# Automated brainstorming with YOLO
automated_brainstorm() {
local topic="$1"
local session_name="auto-brainstorm-$(date +%Y%m%d-%H%M%S)"
mkdir -p ~/.gemini/sessions/$session_name
# Fully automated brainstorming session
gemini --yolo --checkpointing \
-i "Automated brainstorming session for: $topic
Execute this workflow automatically:
1. Generate 10 creative ideas
2. Evaluate each for feasibility (1-10 scale)
3. Identify top 3 ideas with rationale
4. Create implementation roadmap for top idea
5. List potential challenges and solutions
6. Generate final summary document
Save all outputs to organized files."
}#!/bin/bash
# Interactive learning with examples
learn_with_gemini() {
local subject="$1"
gemini \
--yolo \
-i "I want to learn about $subject.
Please:
1. Start with fundamentals
2. Provide examples
3. Create exercises
4. Check my understanding
5. Suggest resources
Let's begin!"
}#!/bin/bash
# Save and resume sessions
# Save session
save_session() {
local name="${1:-session}"
gemini checkpoint save "$name"
echo "Session saved as: $name"
}
# List sessions
list_sessions() {
gemini checkpoint list
}
# Resume session
resume_session() {
local name="$1"
gemini checkpoint restore "$name"
gemini -i "Let's continue where we left off"
}
# Delete old sessions
cleanup_sessions() {
local days_old="${1:-7}"
find ~/.gemini/checkpoints -mtime +$days_old -delete
echo "Cleaned up sessions older than $days_old days"
}#!/bin/bash
# Work with images and text
analyze_designs() {
local design_dir="$1"
gemini -i "Let's review UI designs"
# In the chat:
# @./designs/homepage.png
# @./designs/dashboard.png
# "Compare these designs and suggest improvements"
}
# Screenshot analysis
analyze_screenshot() {
# Take screenshot (macOS)
screencapture -i /tmp/screenshot.png
# Or Linux
# import /tmp/screenshot.png
gemini -p "Analyze this screenshot: @/tmp/screenshot.png"
}#!/bin/bash
# Manage context efficiently
optimized_chat() {
local max_context="${1:-50000}" # tokens
# Monitor context size
while true; do
context_size=$(gemini context size)
if [ $context_size -gt $max_context ]; then
echo "Context limit approaching. Compressing..."
gemini /compress
fi
# Continue chat
gemini -i "Continue"
done
}
# Selective context
focused_chat() {
local focus_dir="$1"
local task="$2"
# Start with minimal context
gemini \
--include-directories "$focus_dir" \
--max-depth 1 \
-i "Focus only on: $task"
}# Engineering prompt
gemini -i "You are a senior software engineer.
Context:
- Language: Python
- Framework: FastAPI
- Database: PostgreSQL
Task: Help me design a scalable API
Constraints:
- Must handle 10k requests/second
- Must have <100ms response time
- Must be maintainable
Let's start with the architecture."#!/bin/bash
# Different personas for different tasks
start_role_session() {
local role="$1"
case $role in
architect)
PROMPT="You are a solutions architect. Focus on system design, scalability, and best practices."
;;
reviewer)
PROMPT="You are a code reviewer. Focus on bugs, security issues, and code quality."
;;
teacher)
PROMPT="You are a patient teacher. Explain concepts simply with examples."
;;
debugger)
PROMPT="You are a debugging expert. Focus on finding and fixing issues systematically."
;;
*)
PROMPT="You are a helpful AI assistant."
;;
esac
gemini -i "$PROMPT
How can I help you today?"
}#!/bin/bash
# Automated daily standup
daily_standup() {
local git_log=$(git log --oneline -5)
local todos=$(cat TODO.md 2>/dev/null || echo "No TODO file")
gemini -p "Based on recent commits and TODOs, generate a standup update:
Recent commits:
$git_log
TODOs:
$todos
Format:
- What I did yesterday
- What I'm doing today
- Any blockers"
}#!/bin/bash
# Learn from codebase changes
learn_from_changes() {
local since="${1:-1 week ago}"
# Get changes
local changes=$(git diff --stat "@{$since}")
local new_files=$(git ls-files --others --exclude-standard)
gemini --yolo -i "Analyze these recent changes and teach me:
Changes since $since:
$changes
New files:
$new_files
Please:
1. Explain what was changed and why
2. Identify patterns and best practices
3. Suggest improvements
4. Generate documentation for changes
5. Create knowledge summary document
6. Quiz me on the concepts"
}
# Automated development workflow session
auto_dev_workflow() {
local task="$1"
gemini --yolo --checkpointing -i "Automated development workflow: $task
Execute this complete development cycle:
1. Analyze current codebase and requirements
2. Create detailed implementation plan
3. Generate all necessary code files
4. Write comprehensive tests
5. Create documentation
6. Set up CI/CD integration
7. Generate deployment scripts
8. Create progress report
Work autonomously and save all outputs."
}" .vimrc
" Send selection to Gemini
vnoremap <leader>g :w !gemini -p "Explain this code: $(cat)"<CR>
" Get suggestions
nnoremap <leader>G :r !gemini -p "Improve this function: $(cat %:p)"<CR>
" Interactive help
nnoremap <leader>? :terminal gemini -i "Help with vim and %:t"<CR># Connect Gemini to VS Code
gemini /ide install
gemini /ide enable
# Now Gemini can see your VS Code context
gemini -i "Help me with the file I have open in VS Code"#!/bin/bash
# Split-screen coding with Gemini
gemini_tmux() {
tmux new-session -d -s gemini-coding
# Main coding pane
tmux send-keys -t gemini-coding "vim" C-m
# Gemini chat pane
tmux split-window -h -t gemini-coding
tmux send-keys -t gemini-coding "gemini -i 'Help me code'" C-m
# File tree pane
tmux split-window -v -t gemini-coding
tmux send-keys -t gemini-coding "watch -n 2 'tree -L 2'" C-m
# Attach to session
tmux attach -t gemini-coding
}Be Specific
# Bad
"Help me with code"
# Good
"Help me refactor this authentication module to use JWT tokens"Provide Context
# Include relevant files
gemini --include-directories ./src/auth,./tests/authSet Constraints
"Explain in simple terms, with examples, max 100 lines"Regular Compression
# Compress every 30 minutes
/compressSave Important Sessions
/checkpointClear Irrelevant Context
/clear contextSlow Responses
/compressgemini -m gemini-2.5-flashLost Context
/restore~/.gemini/historyTool Errors
/toolsls -lagemini-cli: Main Gemini CLI integrationgemini-auth: Authentication managementgemini-tools: Tool execution workflowsgemini-mcp: MCP server management© majiayu000, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in skills/ai-llm/gemini-chat of majiayu000/claude-skill-registry.
Open the folder on GitHubat commit 2d14a69
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 7, 2026.
Gemini Chat next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Gemini Chat this skillmajiayu000/claude-skill-registry | 666 | 1 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Planning with FilesOthmanAdi/planning-with-files | 27k | — | ~2.9k | Automated safety check: Pass | MIT | |
| Geminidavila7/claude-code-templates | 32k | 4 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Gemini Video Understandingeinverne/dotfiles | 121 | 1 repos | ~2.6k | Automated safety check: Notes | MIT | |
| Brainstormingxpinjection/test-driven-spring-boot | 112 | 54 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Context Mode Output Sandboxmksglu/context-mode | 26k | — | ~4.1k | Automated safety check: Pass | Custom licence |
OthmanAdi/planning-with-files
Keeps a task plan, findings and progress log in markdown files on disk so long agent tasks survive context resets, with Gemini hooks and helper scripts.
davila7/claude-code-templates
A skill your agent uses when the user asks to run Gemini CLI for code review, plan review, or big context (200k) processing.
einverne/dotfiles
Analyze videos using Google's Gemini API - describe content, answer questions, transcribe audio with visual descriptions, reference timestamps, clip videos, and process YouTube URLs.
xpinjection/test-driven-spring-boot
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior.
mksglu/context-mode
Routes large command, file, API and browser output through context-mode tools so only the needed result enters the agent's context, instead of dumping it via Bash.
MemoriLabs/Memori
Connects Claude Code to Memori Cloud for long-term memory, recalling stored context before substantive replies and saving new context afterward.
majiayu000/claude-skill-registry
Multi-source deep research using firecrawl and exa MCPs. An agent skill from majiayu000/claude-skill-registry.
majiayu000/claude-skill-registry
Neural search via Exa MCP for web, code, and company research.
majiayu000/claude-skill-registry
Unified media generation via fal.ai MCP — image, video, and audio.
majiayu000/claude-skill-registry
Interact with Zotero reference management libraries using the pyzotero Python client.
majiayu000/claude-skill-registry
Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server.
majiayu000/claude-skill-registry
Perform pairwise sequence alignment using Biopython Bio.Align.PairwiseAligner.
Works with
Categories
Interactive chat workflows with Gemini CLI including context management, multimodal conversations, and session persistence. Gemini Chat is an agent skill from majiayu000/claude-skill-registry. Interactive chat workflows with Gemini CLI including context management, multimodal conversations, and session persistence.
Gemini Chat fits situations like: extended AI conversations; collaborative problem-solving.
Run `npx skills add majiayu000/claude-skill-registry --skill gemini-chat -a claude-code`. Or copy the skill folder (skills/ai-llm/gemini-chat in majiayu000/claude-skill-registry) into .claude/skills/gemini-chat in your project. Claude Code loads it when a task matches its description.
Run `npx skills add majiayu000/claude-skill-registry --skill gemini-chat -a codex`. Or copy the skill folder (skills/ai-llm/gemini-chat in majiayu000/claude-skill-registry) into .agents/skills/gemini-chat in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add majiayu000/claude-skill-registry --skill gemini-chat -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gemini-chat, .gemini/skills/gemini-chat, .github/skills/gemini-chat and .opencode/skills/gemini-chat in your project.
Going by SKILL.md and its folder, Gemini Chat needs the command-line tools its instructions call (gemini and git). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Gemini Chat is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Gemini Chat: Planning with Files (OthmanAdi/planning-with-files, 27k stars), Gemini (davila7/claude-code-templates, 32k stars), Gemini Video Understanding (einverne/dotfiles, 121 stars) and Brainstorming (xpinjection/test-driven-spring-boot, 112 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 1,273 skills in this directory. The repository was last updated on October 7, 2026.
Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.